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we present an approach for automatic creation of a personalized high quality 3d face ring of an actor from just monocular video data we start by tracking as an actor model from video using an oval tracking energy that gently optimizes for facial shape expression and illumination the quality of the initial fit is further improved based on personal specific corrective shapes in addition we use an inverse rendering approach to obtain a finer scale detail later we use the recovered data as input to a newest part regression technique to learn actor a specific detail the output of our method is a personalized 3d rig new realistic expressions can be conveniently created by simply modifying the range of weights you we start our pipeline by tracking and reconstructing facial performances from monocular video here we can see closely the different steps we follow in our multi scale performance capture approach the differences between each step are better visualized in these steel frame comparison
